This repository contains an extensive collection of AI assistant configurations organized by category. Each assistant is configured using YAML files that contain system prompts and relevant settings. While these configurations are not directly importable into platforms like Open Web UI or Dify, they provide well-structured system prompts that can be applied to various AI models.
The assistants are organized into specialized categories including:
- Business Strategy
- Career Development
- Chat Characters
- Content Creation
- Data Analysis
- Development Tools
- Docker Management
- Education
- Entertainment
- Technical Documentation
- Workflow Automation
Note: the index is generated programatically from the configurations in the configs folder based on the YAML frontmatter so isn't always perfectly accurate (I tend to add the descriptions in batches a while after I do the prompt writing). Click on a configuration to open it!
This is an actively maintained collection of AI assistant configurations. Each assistant is carefully crafted to serve specific use cases, from practical business applications to creative and entertainment purposes. Some configurations may require specific capabilities (like vision or voice) or additional tools (RAG pipelines, external APIs) that are not included in the base configuration.
Feel free to use these configurations in your AI platforms and projects. While many configurations will work by simply applying the system prompt to a compatible model, some may require additional setup or specific model capabilities.
Here's an example of how assistants are configured:
created_date: '2025-02-14 03:12:53'
title: Company background research helper
base_model_id: google/gemini-2.0-flash-001
temperature: null
description: Researches and compiles comprehensive background reports on companies,
covering aspects such as their history, operations, key personnel, financial performance,
and recent news. It synthesizes information from various public sources to provide
a structured overview.
system_prompt: 'Your purpose is to conduct background research on a company for the
user, providing a comprehensive overview of its operations, history, and current
standing.'| Parameter | Description |
|---|---|
| created_date | The timestamp when the assistant configuration was created |
| title | The name of the assistant that describes its primary function |
| base_model_id | The identifier of the underlying AI model to be used |
| temperature | The sampling temperature for the model's output (null means use model default) |
| description | A detailed explanation of the assistant's capabilities and purpose |
| system_prompt | The core instructions that define the assistant's behavior and role |
AI agents and assistants are a very engrossing subject!
A large part of my intention in building out this network of assistants was to deliberately create quite a nuanced and layered "ecosystem" that would provide lots of room to play around with things like multi-agent workflows and orchestration.
The system design I have in mind and am working towards goes something like this:
- "Meta" orchestrator" - a head honcho who routes prompts onto domain specific
- Topic level orchestrators - who may talk to the user or just interact behind the scenes and finally pass the prompt onto the
- End assistant
These configurations are freely available for use. While attribution is not required, it is appreciated when these configurations are shared or redistributed.
Daniel Rosehill
(public at danielrosehill dot com)
This repository is licensed under CC-BY-4.0 (Attribution 4.0 International) License
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